
% Table created by stargazer v.5.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Fri, Apr 22, 2022 - 21:10:41
\begin{table}[!htbp] \centering 
  \caption{Effects of import competition on voting, controlling for
        exports and wheat imports, with exposure-robust standard errors} 
  \label{table_votes_rev1_ex} 
\begin{tabular}{@{\hspace{-10pt}}l@{\hspace{-10pt}}cccc} 
\toprule 
 & (1) & (2) & (3) & (4)\\ 
\midrule  
\\[-2.1ex] $\Delta\textrm{IPW}_{1900}$ & $-$0.021$^{***}$ & $-$0.016$^{**}$ & $-$0.016$^{***}$ & $-$0.014$^{**}$ \\ 
  & (0.004) & (0.008) & (0.006) & (0.007) \\ 
 \addlinespace 
\midrule  
Initial MF x election &  & x &  & x \\ 
First stage F-stat & 12.2 & 12.7 & 11.8 & 12.8 \\ 
Observations & 380 & 380 & 380 & 380 \\ 
\bottomrule 
\textit{Note:}  & \multicolumn{4}{l}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
 & \multicolumn{4}{l}{\parbox[t]{0.45\textwidth}{
        This table replicates the results of Table \ref{table_votes_rev1_cl}
        using the aggregation
        and standard error calculation methods recommended by Borusyak, Hull,
        and Jaravel (2022)
        Constituency-level variables aggregated up to the industry level,
        dependent variable is share
        of the vote for the Conservative Party, for the period 1900--1910.
        All models include constituency and election fixed effects, even numbers
        add manufacturing employment in 1880 interacted with
        election dummies. Models 1 and 2 in addition control for exports to Germany
        per worker, computed the same way as $\Delta\textrm{IPW}$, models 3 and
        4 control for US wheat imports per worker, with wheat employment calculated
        using agricultural laborers weighted by the share of county land devoted
        to wheat cultivation.
        Standard errors clustered by industry in parentheses.}} \\ 
\end{tabular} 
\end{table} 
